import pandas as pd import numpy as np

Summarize weather data

1) From the weather dataframe from above, get a count of number of non-missing values for weather columns

2) get the frequency distributions for name (NAME)

3) get descriptive statistics for preciptation

4) get the sum for precipitation (PRCP)

A B D E F H J 1 STATION NAME DATE AWND AWND AT PRCP PRCP ATT SNOW SNOW_AT SNWD 2 USW0001: WASHING 1/1/2017 4.25 ,,W 0,,W,2400 0 ,,W,2400 3 USW0001: WASHING 1/2/2017 7.83 ,W 0.35 ,,W,2400 0 ,,W,2400 4. USW0001: WASHING 1/3/2017 5.82 ,,W 0.86 ,,W,2400 0,,W,2400 5 USW0001: WASHING 1/4/2017 9.84 ,,W OT,W,2400 o W,2400 6 USW0001: WASHING 1/5/2017 6.49 W OT,,W,2400 OT,,W,2400 7 USW0001: WASHING 1/6/2017 12.3 ,,W 0 T,W,2400 OT,,W,2400 8 USW0001: WASHING 1/7/2017 14.76 ,,W 0.01 ,,W,2400 0.4 ,,W,2400 9 USW0001: WASHING 1/8/2017 14.32 W 0 W 2400 0 W 2400 K SNWD_AT 0 ,,W,2400 0,W,2400 0,W,2400 0 ,,W,2400 0,W,2400 0 ,,W,2400 0,,W,2400 OTW 2400