Defining a function to play a graph from CSV data - Python panda - pandas

Question

I am trying to play around with data analysis, taking in data from a simple CSV file I have created with random values in it.
I have defined a function that should allow the user to type in a value3 then from the dataFrame, plot a bar graph. The below:
def analysis_currency_pair():
x=raw_input("what currency pair would you like to analysie ? :")
print type(x)
global dataFrame
df1=dataFrame
df2=df1[['currencyPair','amount']]
df2 = df2.groupby(['currencyPair']).sum()
df2 = df2.loc[x].plot(kind = 'bar')
When I call the function, the code returns my question, along with giving the output of the currency pair. However, it doesn't seem to put x (the value input by the user) into the later half of the function, and so no graph is produced.
Am I doing something wrong here?
This code works when we just put the value in, and not within a function.
I am confused!

Answer 1

I think you need rewrite your function with two parameters: x and df, which are passed to function analysis_currency_pair:
import pandas as pd
df = pd.DataFrame({"currencyPair": pd.Series({1: 'EURUSD', 2: 'EURGBP', 3: 'CADUSD'}),
"amount": pd.Series({1: 2, 2: 2, 3: 3.5}),
"a": pd.Series({1: 7, 2: 8, 3: 9})})
print df
# a amount currencyPair
#1 7 2.0 EURUSD
#2 8 2.0 EURGBP
#3 9 3.5 CADUSD
def analysis_currency_pair(x, df1):
print type(x)
df2=df1[['currencyPair','amount']]
df2 = df2.groupby(['currencyPair']).sum()
df2 = df2.loc[x].plot(kind = 'bar')
#raw input is EURUSD or EURGBP or CADUSD
pair=raw_input("what currency pair would you like to analysie ? :")
analysis_currency_pair(pair, df)
Or you can pass string to function analysis_currency_pair:
import pandas as pd
df = pd.DataFrame({"currencyPair": [ 'EURUSD', 'EURGBP', 'CADUSD', 'EURUSD', 'EURGBP'],
"amount": [ 1, 2, 3, 4, 5],
"amount1": [ 5, 4, 3, 2, 1]})
print df
# amount amount1 currencyPair
#0 1 5 EURUSD
#1 2 4 EURGBP
#2 3 3 CADUSD
#3 4 2 EURUSD
#4 5 1 EURGBP
def analysis_currency_pair(x, df1):
print type(x)
#<type 'str'>
df2=df1[['currencyPair','amount']]
df2 = df2.groupby(['currencyPair']).sum()
print df2
# amount
#currencyPair
#CADUSD 3
#EURGBP 7
#EURUSD 5
df2 = df2.loc[x].plot(kind = 'bar')
analysis_currency_pair('CADUSD', df)