Plotting from large Dataset in Python
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1
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I am facing a collection of 50000 data points (incurred losses in insurance) and want to find a fitting distribution. Since I would like to make a plot in python it is not working - but it should be very simple e.g. making a plot of the first 500 incurred losses :
df = pd.read_excel('data.xlsx')
plt.hist(df[1:500], bins='auto')
but the plot is empty.
What do you think?
Thank you in advance and kind regards :)
python python-3.x pandas matplotlib
edited Nov 19 at 12:39
user3471881
8791619
asked Nov 19 at 11:20
Math_Man1
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up vote
1
down vote
favorite
I am facing a collection of 50000 data points (incurred losses in insurance) and want to find a fitting distribution. Since I would like to make a plot in python it is not working - but it should be very simple e.g. making a plot of the first 500 incurred losses :
df = pd.read_excel('data.xlsx')
plt.hist(df[1:500], bins='auto')
but the plot is empty.
What do you think?
Thank you in advance and kind regards :)
python python-3.x pandas matplotlib
edited Nov 19 at 12:39
user3471881
8791619
asked Nov 19 at 11:20
Math_Man1
63
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
please provide a sample of the data
– Vivek Kalyanarangan
Nov 19 at 11:29
due to data protection I am not quite sure, if I can provide you with the exact data, but : it's a list containing 52000 entries in the range of 20$ up to 3.000.000$. The aggregation of the data should be done automatically with bins='auto' ....
– Math_Man1
Nov 19 at 11:43
1
just add some random data that will reproduce your problem, if you can't add the actual data that you are using.
– user3471881
Nov 19 at 12:18
Hi, maybe its usefull to group the losses before? like: group 1 : 0-500$ group 2: 501-1000$ and so on is this possible via the groupby function?
– Math_Man1
2 days ago
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I am facing a collection of 50000 data points (incurred losses in insurance) and want to find a fitting distribution. Since I would like to make a plot in python it is not working - but it should be very simple e.g. making a plot of the first 500 incurred losses :
df = pd.read_excel('data.xlsx')
plt.hist(df[1:500], bins='auto')
but the plot is empty.
What do you think?
Thank you in advance and kind regards :)
python python-3.x pandas matplotlib
edited Nov 19 at 12:39
user3471881
8791619
asked Nov 19 at 11:20
Math_Man1
63
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I am facing a collection of 50000 data points (incurred losses in insurance) and want to find a fitting distribution. Since I would like to make a plot in python it is not working - but it should be very simple e.g. making a plot of the first 500 incurred losses :
df = pd.read_excel('data.xlsx')
plt.hist(df[1:500], bins='auto')
but the plot is empty.
What do you think?
Thank you in advance and kind regards :)
python python-3.x pandas matplotlib
python python-3.x pandas matplotlib
edited Nov 19 at 12:39
user3471881
8791619
asked Nov 19 at 11:20
Math_Man1
63
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Nov 19 at 12:39
user3471881
8791619
asked Nov 19 at 11:20
Math_Man1
63
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Nov 19 at 12:39
user3471881
8791619
edited Nov 19 at 12:39
user3471881
8791619
edited Nov 19 at 12:39
user3471881
8791619
8791619
asked Nov 19 at 11:20
Math_Man1
63
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Nov 19 at 11:20
Math_Man1
63
asked Nov 19 at 11:20
Math_Man1
63
63
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Math_Man1 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
please provide a sample of the data
– Vivek Kalyanarangan
Nov 19 at 11:29
due to data protection I am not quite sure, if I can provide you with the exact data, but : it's a list containing 52000 entries in the range of 20$ up to 3.000.000$. The aggregation of the data should be done automatically with bins='auto' ....
– Math_Man1
Nov 19 at 11:43
1
just add some random data that will reproduce your problem, if you can't add the actual data that you are using.
– user3471881
Nov 19 at 12:18
Hi, maybe its usefull to group the losses before? like: group 1 : 0-500$ group 2: 501-1000$ and so on is this possible via the groupby function?
– Math_Man1
2 days ago
add a comment |
please provide a sample of the data
– Vivek Kalyanarangan
Nov 19 at 11:29
due to data protection I am not quite sure, if I can provide you with the exact data, but : it's a list containing 52000 entries in the range of 20$ up to 3.000.000$. The aggregation of the data should be done automatically with bins='auto' ....
– Math_Man1
Nov 19 at 11:43
1
just add some random data that will reproduce your problem, if you can't add the actual data that you are using.
– user3471881
Nov 19 at 12:18
Hi, maybe its usefull to group the losses before? like: group 1 : 0-500$ group 2: 501-1000$ and so on is this possible via the groupby function?
– Math_Man1
2 days ago
please provide a sample of the data
– Vivek Kalyanarangan
Nov 19 at 11:29
please provide a sample of the data
– Vivek Kalyanarangan
Nov 19 at 11:29
due to data protection I am not quite sure, if I can provide you with the exact data, but : it's a list containing 52000 entries in the range of 20$ up to 3.000.000$. The aggregation of the data should be done automatically with bins='auto' ....
– Math_Man1
Nov 19 at 11:43
due to data protection I am not quite sure, if I can provide you with the exact data, but : it's a list containing 52000 entries in the range of 20$ up to 3.000.000$. The aggregation of the data should be done automatically with bins='auto' ....
– Math_Man1
Nov 19 at 11:43
1
1
just add some random data that will reproduce your problem, if you can't add the actual data that you are using.
– user3471881
Nov 19 at 12:18
just add some random data that will reproduce your problem, if you can't add the actual data that you are using.
– user3471881
Nov 19 at 12:18
Hi, maybe its usefull to group the losses before? like: group 1 : 0-500$ group 2: 501-1000$ and so on is this possible via the groupby function?
– Math_Man1
2 days ago
Hi, maybe its usefull to group the losses before? like: group 1 : 0-500$ group 2: 501-1000$ and so on is this possible via the groupby function?
– Math_Man1
2 days ago
add a comment |
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please provide a sample of the data
– Vivek Kalyanarangan
Nov 19 at 11:29
due to data protection I am not quite sure, if I can provide you with the exact data, but : it's a list containing 52000 entries in the range of 20$ up to 3.000.000$. The aggregation of the data should be done automatically with bins='auto' ....
– Math_Man1
Nov 19 at 11:43
1
just add some random data that will reproduce your problem, if you can't add the actual data that you are using.
– user3471881
Nov 19 at 12:18
Hi, maybe its usefull to group the losses before? like: group 1 : 0-500$ group 2: 501-1000$ and so on is this possible via the groupby function?
– Math_Man1
2 days ago