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bar chart with seaborn

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Tense Tarantula answered on February 15, 2022 Popularity 10/10 Helpfulness 8/10

answer bar chart with seaborn

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bar chart with seaborn

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import seaborn as sns
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(10,10))
# x and y are lists
sns.barplot(x=x, y=y, color='goldenrod', ax=ax, label="Some Label")
ax.set_xlabel("X-Label")
ax.set_ylabel("Y-Label")
ax.legend()
plt.show()

Popularity 10/10 Helpfulness 8/10 Language python

Source: Grepper

Tags: bar-chart python seaborn

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Contributed on Feb 15 2022

Tense Tarantula

0 Answers Avg Quality 2/10

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seaborn bar plot

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# importing the required library
import seaborn as sns
import matplotlib.pyplot as plt
 
# read a titanic.csv file
# from seaborn library
df = sns.load_dataset('titanic')
 
# class v / s fare barplot
sns.barplot(x = 'class', y = 'fare', data = df)
 
# Show the plot
plt.show()

Popularity 10/10 Helpfulness 5/10 Language python

Source: www.geeksforgeeks.org

Tags: plot

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Contributed on Jul 07 2022

Travinth Dayalaeaswaran

0 Answers Avg Quality 2/10

seaborn bar plot dataset

Comment

# importing the required library
import seaborn as sns
import matplotlib.pyplot as plt
 
# read a titanic.csv file
# from seaborn library
df = sns.load_dataset('titanic')
 
# class v / s fare barplot
sns.barplot(x = 'class', y = 'fare', hue = 'sex', data = df)
 
# Show the plot
plt.show()

Popularity 9/10 Helpfulness 5/10 Language python

Source: www.geeksforgeeks.org

Tags: dataset

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Contributed on Jul 07 2022

Travinth Dayalaeaswaran

0 Answers Avg Quality 2/10

stacked bar chart using seaborn

Comment

import matplotlib.pyplot as plt
import seaborn as sns

#set seaborn plotting aesthetics
sns.set(style='white')

#create stacked bar chart
df.set_index('Day').plot(kind='bar', stacked=True, color=['steelblue', 'red'])

Popularity 9/10 Helpfulness 4/10 Language python

Source: www.statology.org

Tags: bar-chart bar-

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Contributed on Oct 29 2022

Hydar Hafiz

0 Answers Avg Quality 2/10

seaborn bar plot

Comment

import seaborn as sns
import matplotlib.pyplot as plt

# List of categories from lowest to highest
category_order = ["A", "B", "C", "D"]

sns.catplot(x="cat_col", y="col",
            data=df, kind="bar",
            order=category_order, ci=None) # # Turn off the confidence intervals

# Show plot
plt.show()

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: plot

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Contributed on Nov 13 2023

Innocent Iguana

0 Answers Avg Quality 2/10

bar chart with seaborn

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