pandas

问题 I would like to read a .txt file in Python (3.6.0) using Pandas. The first lines of the .txt file is shown below: Text file to read Location: XXX Campaign Name: XXX Date of log start: 2016_10_09 Time of log start: 04:27:28 Sampling Frequency: 1Hz Config file: XXX Logger Serial: XXX CH Mapping;;XXXC1;XXXC2;XXXC3;XXXC4 CH Offsets in ms;;X;X,X;X;X,X CH Units;;mA;mA;mA;mA Time;msec;Channel1;Channel2;Channel3;Channel4 04:30:00;000; 0.01526;10.67903;10.58366; 0.00000 04:30:01;000; 0.17090;10.68666

问题 I would like to read a .txt file in Python (3.6.0) using Pandas. The first lines of the .txt file is shown below: Text file to read Location: XXX Campaign Name: XXX Date of log start: 2016_10_09 Time of log start: 04:27:28 Sampling Frequency: 1Hz Config file: XXX Logger Serial: XXX CH Mapping;;XXXC1;XXXC2;XXXC3;XXXC4 CH Offsets in ms;;X;X,X;X;X,X CH Units;;mA;mA;mA;mA Time;msec;Channel1;Channel2;Channel3;Channel4 04:30:00;000; 0.01526;10.67903;10.58366; 0.00000 04:30:01;000; 0.17090;10.68666

问题 I would like to read a .txt file in Python (3.6.0) using Pandas. The first lines of the .txt file is shown below: Text file to read Location: XXX Campaign Name: XXX Date of log start: 2016_10_09 Time of log start: 04:27:28 Sampling Frequency: 1Hz Config file: XXX Logger Serial: XXX CH Mapping;;XXXC1;XXXC2;XXXC3;XXXC4 CH Offsets in ms;;X;X,X;X;X,X CH Units;;mA;mA;mA;mA Time;msec;Channel1;Channel2;Channel3;Channel4 04:30:00;000; 0.01526;10.67903;10.58366; 0.00000 04:30:01;000; 0.17090;10.68666

问题 I would like to read a .txt file in Python (3.6.0) using Pandas. The first lines of the .txt file is shown below: Text file to read Location: XXX Campaign Name: XXX Date of log start: 2016_10_09 Time of log start: 04:27:28 Sampling Frequency: 1Hz Config file: XXX Logger Serial: XXX CH Mapping;;XXXC1;XXXC2;XXXC3;XXXC4 CH Offsets in ms;;X;X,X;X;X,X CH Units;;mA;mA;mA;mA Time;msec;Channel1;Channel2;Channel3;Channel4 04:30:00;000; 0.01526;10.67903;10.58366; 0.00000 04:30:01;000; 0.17090;10.68666

问题 I have a data set that has employees clocking in and out. It looks like this (note two entries per employee): Employee Date Time Emp1 1/1/16 06:00 Emp1 1/1/16 13:00 Emp2 1/1/16 09:00 Emp2 1/1/16 17:00 Emp3 1/1/16 11:00 Emp3 1/1/16 18:00 I want to get the data to look like this: Employee Date Start End Emp1 1/1/16 06:00 13:00 Emp2 1/1/16 09:00 17:00 Emp3 1/1/16 11:00 18:00 I would like to get it into a data frame format so that I can do some calculations. I currently have tried df['start'] =

问题 I have a data set that has employees clocking in and out. It looks like this (note two entries per employee): Employee Date Time Emp1 1/1/16 06:00 Emp1 1/1/16 13:00 Emp2 1/1/16 09:00 Emp2 1/1/16 17:00 Emp3 1/1/16 11:00 Emp3 1/1/16 18:00 I want to get the data to look like this: Employee Date Start End Emp1 1/1/16 06:00 13:00 Emp2 1/1/16 09:00 17:00 Emp3 1/1/16 11:00 18:00 I would like to get it into a data frame format so that I can do some calculations. I currently have tried df['start'] =

问题 I have the following dataframe: total_gross_profit first_day_week var Feb-06 1 45293.09 2 61949.54 Feb-13 1 44634.72 2 34584.15 Feb-20 1 43796.89 2 37308.57 Feb-27 1 44136.21 2 38237.67 Jan-16 1 74695.91 2 75702.02 Jan-23 1 86101.05 2 69518.39 Jan-30 1 65913.56 2 74823.94 Mar-06 1 34256.47 2 31953.00 grouped by first_day_week and var columns i need to make a bar plot where i have first_day_week in x axis and for each entry in first_day_week two bar plot for each value in var in different

问题 I have the following dataframe: total_gross_profit first_day_week var Feb-06 1 45293.09 2 61949.54 Feb-13 1 44634.72 2 34584.15 Feb-20 1 43796.89 2 37308.57 Feb-27 1 44136.21 2 38237.67 Jan-16 1 74695.91 2 75702.02 Jan-23 1 86101.05 2 69518.39 Jan-30 1 65913.56 2 74823.94 Mar-06 1 34256.47 2 31953.00 grouped by first_day_week and var columns i need to make a bar plot where i have first_day_week in x axis and for each entry in first_day_week two bar plot for each value in var in different

问题 I have a data file containing different foetal ultrasound measurements. The measurements are collected at different points during pregnancy, like so: PregnancyID MotherID gestationalAgeInWeeks abdomCirc 0 0 14 150 0 0 21 200 1 1 20 294 1 1 25 315 1 1 30 350 2 2 8 170 2 2 9 180 2 2 18 NaN As you can see from the table above, I have multiple measurements per pregnancy (between 1 and 26 observations each). I want to summarise the ultrasound measurements somehow such that I can replace the

问题 I have a time-series of 55 years at a daily scale. I have found the monthly mean of each month for each year. Now I want to subtract this monthly mean from the corresponding days of that month and year. My pandas data frame looks like this: 0 1 2 3 ... 5 6 7 8 Date ... 1951-01-01 28.361 0.0 131.24 405.39 ... 405.39 38.284 0.187010 -1.23550 1951-01-02 27.874 0.0 113.74 409.56 ... 409.56 49.834 0.066903 -1.44770 ... ... ... ... ... ... ... ... ... 2005-12-16 27.921 0.0 104.99 429.78 ... 429.78