pandas filter not working

[issac_n]

I am trying to filter some info eg Name from a table and print it, but seems like my code is not working.
followed eg in  http://pbpython.com/excel-pandas-comp-2.html and still not working.

import pandas as pd
import numpy as np
all_dataB = pd.DataFrame()
dfB= pd.read_excel("C:\File2.xlsx")
dfB[dfB["BoardName"]=='Alex*']
all_dataB = dfB
print(dfB)#check

[Larz60+]

Please explain not working.
How far do you get before a fail
Please post entire error traceback, it contains important information
Have you installed pandas?
Have you installed xlrd?
Have you checked to make sure a file named 'File2.xlsx' exists in C:\

[issac_n]

---

Please explain not working.
How far do you get before a fail
Please post entire error traceback, it contains important information
Have you installed pandas?
Have you installed xlrd?
Have you checked to make sure a file named 'File2.xlsx' exists in C:\

modules are installed.
  


i can print the result but it is not filtered, it was exactly same as input file. No errors message.

[issac_n]

tired on conda mini as well, code is not working.

[Larz60+]

Could you attach a sample of File2.xlsx
so that it can be run here?

[issac_n]

Could you attach a sample of File2.xlsx
so that it can be run here?

please try this
https://ufile.io/1i1sj

[issac_n]

anyone can help?~

[Larz60+]

remove the c:\ fro m file name

import pandas as pd
import numpy as np


all_dataB = pd.DataFrame()
dfB= pd.read_excel("File2.xlsx")
dfB[dfB["BoardName"]=='Alex*']
all_dataB = dfB
print(dfB)#check

results:

Output:
Backend TkAgg is interactive backend. Turning interactive mode on.
      AreaName BoardName
0       Utopia    Darren
1       Utopia      Alex
2       Utopia      Alex
3       Utopia      Alex
4       Utopia      Alex
5       Utopia      Alex
6       Utopia      Alex
7       Utopia      Alex
8       Utopia      Alex
9       Utopia      Alex
10      Utopia      Alex
11      Utopia      Alex
12      Utopia    Darren
13      Utopia    Darren
14      Utopia    Darren
15      Utopia      Sean
16      Utopia      MRRU
17      Utopia      MRRU
18      Utopia      MRRU
19      Utopia      MRRU
20      Utopia      MRRU
21      Utopia      MRRU
22      Utopia      Alex
23      Utopia      Alex
24      Utopia      Alex
25      Utopia      Alex
26       Japan      MRRU
27       Japan      MRRU
28       Japan      MRRU
29       Japan      Alex
..         ...       ...
128      Japan      MRRU
129      Japan      MRRU
130  Indonesia    Darren
131  Indonesia      Alex
132  Indonesia    Darren
133  Indonesia    Darren
134  Indonesia      Sean
135  Indonesia      MRRU
136  Indonesia      MRRU
137  Indonesia      MRRU
138  Indonesia      MRRU
139  Indonesia      MRRU
140  Indonesia      MRRU
141  Indonesia      Alex
142  Indonesia      Alex
143  Indonesia      Alex
144  Indonesia      Alex
145  Indonesia      Alex
146  Indonesia      Alex
147  Indonesia      Alex
148  Indonesia      Alex
149  Indonesia      Alex
150  Indonesia      Alex
151  Indonesia      Alex
152  Indonesia    Darren
153       Cebu    Darren
154       Cebu    Darren
155       Cebu      Sean
156       Cebu      Alex
157       Cebu      MRRU

[158 rows x 2 columns]

[issac_n]

remove the c:\ fro m file name

 import pandas as pd import numpy as np all_dataB = pd.DataFrame() dfB= pd.read_excel("File2.xlsx") dfB[dfB["BoardName"]=='Alex*'] all_dataB = dfB print(dfB)#check 

results:

Output:
 Backend TkAgg is interactive backend. Turning interactive mode on. AreaName BoardName 0 Utopia Darren 1 Utopia Alex 2 Utopia Alex 3 Utopia Alex 4 Utopia Alex 5 Utopia Alex 6 Utopia Alex 7 Utopia Alex 8 Utopia Alex 9 Utopia Alex 10 Utopia Alex 11 Utopia Alex 12 Utopia Darren 13 Utopia Darren 14 Utopia Darren 15 Utopia Sean 16 Utopia MRRU 17 Utopia MRRU 18 Utopia MRRU 19 Utopia MRRU 20 Utopia MRRU 21 Utopia MRRU 22 Utopia Alex 23 Utopia Alex 24 Utopia Alex 25 Utopia Alex 26 Japan MRRU 27 Japan MRRU 28 Japan MRRU 29 Japan Alex .. ... ... 128 Japan MRRU 129 Japan MRRU 130 Indonesia Darren 131 Indonesia Alex 132 Indonesia Darren 133 Indonesia Darren 134 Indonesia Sean 135 Indonesia MRRU 136 Indonesia MRRU 137 Indonesia MRRU 138 Indonesia MRRU 139 Indonesia MRRU 140 Indonesia MRRU 141 Indonesia Alex 142 Indonesia Alex 143 Indonesia Alex 144 Indonesia Alex 145 Indonesia Alex 146 Indonesia Alex 147 Indonesia Alex 148 Indonesia Alex 149 Indonesia Alex 150 Indonesia Alex 151 Indonesia Alex 152 Indonesia Darren 153 Cebu Darren 154 Cebu Darren 155 Cebu Sean 156 Cebu Alex 157 Cebu MRRU [158 rows x 2 columns] 

my desire result should contains Alex only.

[Larz60+]

import pandas as pd

all_datab = pd.DataFrame()
dfb = pd.read_excel("File2.xlsx")

dfc = dfb[dfb["BoardName"] == 'Alex']
print(dfc)

Results:

Output:
      AreaName BoardName
1       Utopia      Alex
2       Utopia      Alex
3       Utopia      Alex
4       Utopia      Alex
5       Utopia      Alex
6       Utopia      Alex
7       Utopia      Alex
8       Utopia      Alex
9       Utopia      Alex
10      Utopia      Alex
11      Utopia      Alex
22      Utopia      Alex
23      Utopia      Alex
24      Utopia      Alex
25      Utopia      Alex
29       Japan      Alex
30       Japan      Alex
31       Japan      Alex
32       Japan      Alex
33       Japan      Alex
34       Japan      Alex
35       Japan      Alex
36       Japan      Alex
37       Japan      Alex
38       Japan      Alex
39       Japan      Alex
40       Japan      Alex
52   Indonesia      Alex
62   Indonesia      Alex
63   Indonesia      Alex
..         ...       ...
90      Utopia      Alex
101     Utopia      Alex
102     Utopia      Alex
103     Utopia      Alex
104     Utopia      Alex
108      Japan      Alex
109      Japan      Alex
110      Japan      Alex
111      Japan      Alex
112      Japan      Alex
113      Japan      Alex
114      Japan      Alex
115      Japan      Alex
116      Japan      Alex
117      Japan      Alex
118      Japan      Alex
119      Japan      Alex
131  Indonesia      Alex
141  Indonesia      Alex
142  Indonesia      Alex
143  Indonesia      Alex
144  Indonesia      Alex
145  Indonesia      Alex
146  Indonesia      Alex
147  Indonesia      Alex
148  Indonesia      Alex
149  Indonesia      Alex
150  Indonesia      Alex
151  Indonesia      Alex
156       Cebu      Alex

[80 rows x 2 columns]