Visualizing missing values

Visualizing missing values in a Pandas df

import seaborn as sns
import plotly.express as px
import plotly.graph_objects as go
import matplotlib.pyplot as plt

# Missing value summary
nan_columns = []
nan_values = []

for column in df.columns:
    nan_columns.append(column)
    nan_values.append(df[column].isnull().sum())

fig = go.Figure(go.Bar(
            x=nan_columns,
            y=nan_values,
            orientation='v'))

fig.update_layout(
    title='Missing Values in the Attributes',
    xaxis_title="Column names",
    yaxis_title="Number of Missing values"
)

fig.show()