id stringlengths 9 9 | text stringlengths 312 2.4k | title stringclasses 1
value |
|---|---|---|
000001900 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.arange(10)
y = np.random.randn(10)
plt.scatter(x, y)
# show yticks a... | |
000001901 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.linspace(0, 2 * np.pi, 10)
y = np.cos(x)
plt.plot(x, y, label="sin")
... | |
000001902 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
data = np.random.random((10, 10))
# Set xlim and ylim to be between 0 and 10
# Plot a heatmap of data in the rectangl... | |
000001903 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
d = {"a": 4, "b": 5, "c": 7}
c = {"a": "red", "c": "green", "b": "blue"}
# Make a bar plot using data in `d`. Use the keys as x axis lab... | |
000001904 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(2010, 2020)
y = np.arange(10)
plt.plot(x, y)
# Set the transparency of xtick labels... | |
000001905 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("exercise")
# Make catplots of scatter plots by using... | |
000001906 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
x = np.random.random((10, 10))
y = np.random.random((10, 10))
# make two colormaps with x and y and put them into dif... | |
000001907 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
x = np.arange(10)
y = np.linspace(0, 1, 10)
# Plot y over x with a scatter plot... | |
000001908 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np, pandas as pd
import seaborn as sns
tips = sns.load_dataset("tips")
# Make a seaborn joint regression plot (kind='reg... | |
000001909 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
labels = ["Walking", "Talking", "Sleeping", "Working"]
sizes = [23, 45, 12, 20]
colors = ["red", "blue", "green", "yellow"]
# Make a pie... | |
000001910 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(2010, 2020)
y = np.arange(10)
plt.plot(x, y)
# Rotate the yticklabels to -60 degree... | |
000001911 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("penguins")[
["bill_length_mm", "bill_depth_mm", "... | |
000001912 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x with label "y" and show legend
# Remove the b... | |
000001913 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x
# move the y axis ticks to the right
# SOLUTI... | |
000001914 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np, pandas as pd
import seaborn as sns
tips = sns.load_dataset("tips")
# Make a seaborn joint regression plot (kind='reg... | |
000001915 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
z = np.arange(10)
a = np.arange(10)
# plot y over x and z ove... | |
000001916 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x and invert the x axis
# SOLUTION START
plt.pl... | |
000001917 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.random.rand(10)
z = np.random.rand(10)
a = np.arange(10)
# Make two subp... | |
000001918 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x and label the x axis as "X"
# Make the line o... | |
000001919 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
plt.plot(y, x)
plt.xticks(range(0, 10, 2))
# Add extra ticks ... | |
000001920 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
x = np.random.random(10)
y = np.random.random(10)
z = np.random.random(10)
# ... | |
000001921 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.random.rand(100) * 10
# Make a histogram of x
# Make the histogram range from 0 to 10
# Ma... | |
000001922 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# plot y over x with label "y"
# make the legend fontsize 8
#... | |
000001923 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x in a line chart but use transparent marker wi... | |
000001924 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.sin(x)
# draw a line plot of x vs y using seaborn ... | |
000001925 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.arange(10)
y = np.random.randn(10)
# line plot x and y with a thin d... | |
000001926 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x with figsize (5, 5) and dpi 300
# SOLUTION ST... | |
000001927 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# plot y over x
# use font size 20 for title, font size 18 fo... | |
000001928 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np, pandas as pd
import seaborn as sns
tips = sns.load_dataset("tips")
# Make a seaborn joint regression plot (kind='reg... | |
000001929 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.random.rand(10)
y = np.random.rand(10)
# Plot a grouped histograms of x and y on a single ... | |
000001930 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc("mathtext", default="regular")
time = np.arange(10)
temp = np.random.random(10) * 30
Swd... | |
000001931 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
y = np.arange(10)
f = plt.figure()
ax = f.add_subplot(111)
# plot y over x, show tick labels (from... | |
000001932 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Make a scatter plot with x and y and remove the edge of the... | |
000001933 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
labels = ["Walking", "Talking", "Sleeping", "Working"]
sizes = [23, 45, 12, 20]
colors = ["red", "blue", "green", "yellow"]
# Make a pie... | |
000001934 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import seaborn as sns
import matplotlib.pylab as plt
import pandas
import numpy as np
df = pandas.DataFrame(
{
"a": np.arange(1, 31),
"b": ["A",] * 1... | |
000001935 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10, 20)
z = np.arange(10)
import matplotlib.pyplot as plt
plt.pl... | |
000001936 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("penguins")[
["bill_length_mm", "bill_depth_mm", "... | |
000001937 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.random.randn(10)
y = x
plt.scatter(x, y)
# put x ticks at 0 and 1.5 ... | |
000001938 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
column_labels = list("ABCD")
row_labels = list("WXYZ")
data = np.random.rand(4, 4)
fig, ax = plt.subplots()
heatmap = ... | |
000001939 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x and show blue dashed grid lines
# SOLUTION ST... | |
000001940 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
xvec = np.linspace(-5.0, 5.0, 100)
x, y = np.meshgrid(xvec, xvec)
z = -np.hypot(x, y)
plt.contourf(x, y, z)
# draw x=... | |
000001941 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import matplotlib.pyplot as plt
lines = [[(0, 1), (1, 1)], [(2, 3), (3, 3)], [(1, 2), (1, 3)]]
c = np.array([(1, 0, 0, 1), (0, 1, 0, 1), (0, 0, 1, 1)]... | |
000001942 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
x = np.random.rand(10)
y... | |
000001943 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
z = np.arange(10)
a = np.arange(10)
# Plot y over x and z ove... | |
000001944 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.arange(10)
y = np.random.randn(10)
plt.scatter(x, y)
# show xticks a... | |
000001945 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
a = [2.56422, 3.77284, 3.52623]
b = [0.15, 0.3, 0.45]
c = [58, 651, 393]
# make scatter plot of a... | |
000001946 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# plot y over x with tick font size 10 and make the x tick la... | |
000001947 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("exercise")
# Make catplots of scatter plots by using... | |
000001948 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x and label y axis "Y"
# Show y axis ticks on t... | |
000001949 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# plot y over x
# do not show xticks for the plot
# SOLUTION ... | |
000001950 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Make a scatter plot with x and y
# Use vertical line hatch ... | |
000001951 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
# draw a circle centered at (0.5, 0.5) with radius 0.2
# SOLUTION START
import matplotlib.pyplot as plt
circle1 = plt.Circle((0.5, 0.5),... | |
000001952 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("planets")
g = sns.boxplot(x="method", y="orbital_peri... | |
000001953 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0.1, 2 * np.pi, 41)
y = np.exp(np.sin(x))
# make a stem plot of y over x and set the orientation to b... | |
000001954 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x in a line chart. Show x axis tick labels but ... | |
000001955 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
data = {
"reports": [4, 24, 31, 2, 3],
"coverage": [35050800, 548997... | |
000001956 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.random.rand(10)
y = np.random.rand(10)
bins = np.linspace(-1, 1, 100)
# Plot two histogram... | |
000001957 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x in a line plot
# Show marker on the line plot... | |
000001958 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.random.randn(10)
y = np.random.randn(10)
sns.distplot(x, label="a", c... | |
000001959 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# make a two columns and one row subplots. Plot y over x in e... | |
000001960 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x
# Show legend and use the greek letter lambda... | |
000001961 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# draw a full line from (0,0) to (1,2)
# SOLUTION START
p1 = (0, 0)
p2 = (1,... | |
000001962 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot a scatter plot with values in x and y
# Plot the data ... | |
000001963 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.linspace(0, 2 * np.pi, 10)
y = np.cos(x)
# set xlabel as "X"
# put t... | |
000001964 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
plt.plot(x, y, marker="*", label="Line")
# Show a legend of t... | |
000001965 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x and use the greek letter phi for title. Bold ... | |
000001966 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# plot y over x on a 2 by 2 subplots with a figure size of (1... | |
000001967 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
y = 2 * np.random.rand(10)
x = np.arange(10)
plt.plot(x, y)
myTitle = "Some really really long lon... | |
000001968 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.arange(10)
y = 2 * np.random.rand(10)
# draw a regular matplotlib st... | |
000001969 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.arange(10)
# draw a line (with random y) for each different line sty... | |
000001970 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import matplotlib.pyplot as plt
H = np.random.randn(10, 10)
# color plot of the 2d array H
# SOLUTION START
plt.imshow(H, interpolation="none")
# SO... | |
000001971 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.random.randn(10)
y = np.random.randn(10)
# in plt.plot(x, y), use a plus marker and give i... | |
000001972 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.random.rand(10)
y = np.random.rand(10)
plt.scatter(x, y)
# how to tu... | |
000001973 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x in a line chart and label the line "y over x"... | |
000001974 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Make a scatter plot with x and y
# Use star hatch for the m... | |
000001975 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
plt.plot(x, y, label="Line")
plt.plot(y, x, label="Flipped")
... | |
000001976 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
# Make a solid vertical line at x=3 and label it "cutoff". Show legend of this plot.
# SOLUTION START
plt.axvline(x=3, label="cutoff")
pl... | |
000001977 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
# draw vertical lines at [0.22058956, 0.33088437, 2.20589566]
# SOLUTION START
plt.axvline(x=0.22058956)
plt.axvline(x=0.33088437)
plt.ax... | |
000001978 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.linspace(0, 2 * np.pi, 400)
y1 = np.sin(x)
y2 = np.cos(x)
# plot x v... | |
000001979 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
from numpy import *
import math
import matplotlib
import matplotlib.pyplot as plt
t = linspace(0, 2 * math.pi, 400)
a = sin(t)
b = cos(t)
c = a + b
# Plot a, b, c in th... | |
000001980 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
x = np.arange(10)
y = np.sin(x)
df = pd.DataFrame({"x": x, "y": y})
sns.line... | |
000001981 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.DataFrame(
np.random.randn(50, 4),
index=pd.date_range("1/1/2000", periods=50),
... | |
000001982 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.random.randn(10)
y = np.random.randn(10)
# in a scatter plot of x, y, make the points have... | |
000001983 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("exercise")
# Make catplots of scatter plots by using... | |
000001984 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("penguins")[["bill_length_mm", "species", "sex"]]
# U... | |
000001985 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
points = [(3, 5), (5, 10), (10, 150)]
# plot a line plot for points in points.
# Make the y-axis ... | |
000001986 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
l = ["a", "b", "c"]
data = [225, 90, 50]
# Make a donut plot of using `data` and use `l` for the pie labels
# Set the wedge width to be ... | |
000001987 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style("whitegrid")
tips = sns.load_dataset("tips")
ax = sns.boxplot(... | |
000001988 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy
xlabels = list("ABCD")
ylabels = list("CDEF")
rand_mat = numpy.random.rand(4, 4)
# Plot of heatmap with data in rand_mat an... | |
000001989 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
d = np.random.random((10, 10))
# Use matshow to plot d and make the figure size (8, 8)
# SOLUTION START
matfig = plt.... | |
000001990 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x and label the x axis as "X"
# Make both the x... | |
000001991 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import matplotlib.pyplot as plt
H = np.random.randn(10, 10)
# show the 2d array H in black and white
# SOLUTION START
plt.imshow(H, cmap="gray")
# SO... | |
000001992 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(
{
"celltype": ["foo", "bar", "qux", "woz"],
"s1": [5, 9, 1, ... | |
000001993 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("penguins")[
["bill_length_mm", "bill_depth_mm", "... | |
000001994 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
import numpy as np
# Specify the values of blue bars (height)
blue_bar = (23, 25, 17)
# Specify the values of orange bars (height)
orange... | |
000001995 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
fig, ax = plt.subplots(1, 1)
plt.xlim(1, 10)
plt.xticks(range(... | |
000001996 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import matplotlib.pyplot as plt
fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))
axes = axes.flatten()
for ax in axes:
ax.set_ylabel(r"$\ln\left(\frac{x_a... | |
000001997 | import pickle
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--test_case", type=int, default=1)
args = parser.parse_args()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
x = np.arange(10)
y = np.arange(10)
# Plot y over x in a line chart. Show x axis ticks on both to... |
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