PYTHON

find all nan columns pandas

nan_cols = [i for i in df.columns if df[i].isnull().any()]
print("No. of columns containing null values")
print(len(df.columns[df.isna().any()]))

print("No. of columns not containing null values")
print(len(df.columns[df.notna().all()]))

print("Total no. of columns in the dataframe")
print(len(df.columns))

find nan values in a column pandas

df.isnull().values.any()

find nan values in a column pandas

df['your column name'].isnull().sum()

pandas search for nan in column

df['your column name'].isnull().values.any()

find nan value in dataframe python

# to mark NaN column as True
df['your column name'].isnull()

find nan values in a column pandas

df['your column name'].isnull().values.any()

find nan values in a column pandas

df.isnull().sum().sum()

pandas bar number of nans by column

fig, ax = plt.subplots()
plt.bar(df.columns, df.isna().sum())

pandas nan values in column

df['your column name'].isnull()

represent NaN with pandas in python

import pandas as pd

if pd.isnull(float("Nan")):
  print("Null Value.")

pandas select nan value in a column

df[df["A_col"].isnull()]