get all count rows pandas
count_row = df.shape[0]  # gives number of row count
count_col = df.shape[1]  # gives number of col count
                                
                            get all count rows pandas
count_row = df.shape[0]  # gives number of row count
count_col = df.shape[1]  # gives number of col count
                                
                            pandas df row count
df = pd.DataFrame({"Letters": ["a", "b", "c"], "Numbers": [1, 2, 3]})
index = df.index
number_of_rows = len(index)
                                
                            pandas count rows in column
>>> df.count(axis='columns')
0    3
1    2
2    3
3    3
4    3
dtype: int64
                                
                            pandas count number of rows with value
In [37]:
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()
Out[37]:
   a
a   
a  2
b  3
s  2
[3 rows x 1 columns]
                                
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