import pandas as pd

data = pd.read_excel('test.xlsx',sheet_name='Sheet1')
datanota = data[data['销售人员'].notna()]
print(datanota)

import pandas as pd
data = pd.read_csv('my_data.csv', sep=',')
data.head()

data = data.dropna(subset=['sms'])
print (data)
  id city department  sms category
1  2 lhr  revenue good     1

data = data[data['sms'].notnull()]
print (data)
  id city department  sms category
1  2 lhr  revenue good     1

print (data.query("sms == sms"))
  id city department  sms category
1  2 lhr  revenue good     1

#[300000 rows x 5 columns]
data = pd.concat([data]*100000).reset_index(drop=True)

In [123]: %timeit (data.dropna(subset=['sms']))
100 loops, best of 3: 19.5 ms per loop

In [124]: %timeit (data[data['sms'].notnull()])
100 loops, best of 3: 13.8 ms per loop

In [125]: %timeit (data.query("sms == sms"))
10 loops, best of 3: 23.6 ms per loop