missing value heatmap from pandas dataframe

missing value heatmap

import seaborn as sns
cols = df.columns[:30] # first 30 columns
colors = ['#000099', '#ffff00'] # specify the colours - yellow is missing. blue is not missing.
sns.heatmap(df[cols].isnull(), cmap=sns.color_palette(colors))

# if it's a larger dataset and the visualization takes too long can do this.
# % of missing.
for col in df.columns:
    pct_missing = np.mean(df[col].isnull())
    if pct_missing > 0.009:
        print('{} - {}%'.format(col, round(pct_missing*100)))