CODEWITHSUNDEEP
pythonpandasseaborn
YVS1997
YVS1997

Reputation: 680

Seaborn distplot only return one column when try to plot each Pandas column by loop for

I have problem when try to plot Pandas columns using for each loop when i use displot instead distplot it act well, besides it only show distribution globally, not based from its group. Let say i have list of column name called columns and Pandas' dataframe n, which has column name class. The goal is to show Distribution Plot based on column for each class:

for w in columns:
    if w!=<discarded column> or w!=<discarded column>:
        sns.displot(n[w],kde=True

but when I use distplot, it returns only first column:

for w in columns:
    if w!=<discarded column> or w!=<discarded column>:
        sns.distplot(n[w],kde=True

I'm still new using Seaborn, since i never use any visualization and rely on numerical analysis like p-value and correlation. Any help are appreciated.

Upvotes: 0

Views: 726

Answers (1)

Cain&#227; Max Couto da Silva
Cain&#227; Max Couto da Silva

Reputation: 4929

You probably getting only the figure corresponding to the last loop.
So you have to explicitly ask for showing the picture in each loop.

import matplotlib.pyplot as plt

for w in columns:
    if w not in discarded_columns:
        sns.distplot(n[w], kde=True)
        plt.show()

or you can make subplots:

# Keep only target-columns
target_columns = list(filter(lambda x: x not in discarded_columns, columns))

# Plot with subplots
fig, axes = plt.subplots(len(target_columns)) # see the parameters, like: nrows, ncols ... figsize=(16,12)
for i,w in enumerate(target_columns):
    sns.distplot(n[w], kde=True, ax=axes[i])

Upvotes: 1

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