avoid nan in pandas code example
Example 1: count nan pandas
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
Example 2: pandas filter non nan
filtered_df = df[df['name'].notnull()]
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
filtered_df = df[df['name'].notnull()]