Pandas Excel: Insert a column in specified position in a excel sheet and fill it with NaN values
Write a Pandas program to insert a column in the sixth position of the said excel sheet and fill it with NaN values. Go to Excel data
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
df = pd.read_excel('E:\coalpublic2013.xlsx')
df.insert(3, "column1", np.nan)
print(df.head)
Sample Output:
Year MSHA ID Mine_Name column1 Production \
0 2013 103381 Tacoa Highwall Miner NaN 56004 .....
1 2013 103404 Reid School Mine NaN 28807 .....
2 2013 100759 North River #1 Underground Min NaN 1440115 .....
3 2013 103246 Bear Creek NaN 87587 .....
4 2013 103451 Knight Mine NaN 147499 .....
5 2013 103433 Crane Central Mine NaN 69339 .....
6 2013 100329 Concord Mine NaN 0 .....
7 2013 100851 Oak Grove Mine NaN 2269014 .....
8 2013 102901 Shoal Creek Mine NaN 0 .....
9 2013 102901 Shoal Creek Mine NaN 1453024 .....
10 2013 103180 Sloan Mountain Mine NaN 327780 .....
11 2013 103182 Fishtrap NaN 175058 .....
12 2013 103285 Narley Mine NaN 154861 .....
13 2013 103332 Powhatan Mine NaN 140521 .....
14 2013 103375 Johnson Mine NaN 580 .....
15 2013 103419 Maxine-Pratt Mine NaN 125824 .....
16 2013 103432 Skelton Creek NaN 8252 .....
17 2013 103437 Black Warrior Mine No 1 NaN 145924 .....
18 2013 102976 Piney Woods Preparation Plant NaN 0 .....
19 2013 102976 Piney Woods Preparation Plant NaN 0 .....
20 2013 103380 Calera NaN 0 .....
21 2013 103380 Calera NaN 0 .....
22 2013 103422 Clark No 1 Mine NaN 122727 .....
23 2013 103467 Helena Surface Mine NaN 59664 .....
24 2013 101247 No 4 Mine NaN 2622528 .....
25 2013 101401 No 7 Mine NaN 5405412 .....
26 2013 103172 Searles Mine No. 2, 3, 4, 5, 6 NaN 258078 .....
27 2013 103179 Fleetwood Mine No 1 NaN 75937 .....
28 2013 103303 Shannon Mine NaN 317491 .....
29 2013 103323 Deerlick Mine NaN 133452 .....
30 2013 103364 Brc Alabama No. 7 Llc NaN 0 .....
31 2013 103436 Swann's Crossing NaN 137511 .....
32 2013 100347 Choctaw Mine NaN 537429 .....
33 2013 101362 Manchester Mine NaN 219457 .....
34 2013 102996 Jap Creek Mine NaN 375715 .....
35 2013 103155 Corinth Prep Plant NaN 0 .....
36 2013 103155 Corinth Prep Plant NaN 0 .....
37 2013 103195 Mccollum/Sparks Branch Mine NaN 71910 .....
38 2013 103342 Reese's Branch Mine NaN 263888 .....
39 2013 103370 Cresent Valley Mine NaN 2860 .....
40 2013 103372 Cane Creek Mine NaN 66258 .....
41 2013 103376 Town Creek NaN 299167 .....
42 2013 103389 Carbon Hill Mine NaN 76241 .....
43 2013 103410 Coal Valley Mine NaN 407841 .....
44 2013 103423 Dutton Hill Mine NaN 37275 .....
45 2013 1519322 Ghm #25 NaN 25054 .....
46 2013 103321 Poplar Springs NaN 189370 .....
47 2013 103358 Old Union NaN 284563 .....
48 2013 5000030 Usibelli NaN 1631584 .....
49 2013 201195 Kayenta Mine NaN 7602722 .....
Excel Data:
coalpublic2013.xlsx:
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Next: Write a Pandas program to import given excel data (coalpublic2013.xlsx ) skipping first twenty rows into a Pandas dataframe.
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