Low memory when reading data from REDCap #1
Description
When executing manually python3.8 main.py in the console it outputs:
sys:1: DtypeWarning: Columns (25,39,56,57,62,64,82,85,89,91,92,93,94,101,103,110,115,118,123,125,129,133,134,136,158,162,164,166,170,172,176,178,182,194,197,251,252,254,255,257,258,259,261,262,264,266,268,272,295,303,325,326,328,329,330,331,332,333,334,338,339,341,342,343,344,348,349,350,351,352,353,354,356,358,359,361,362,363,364,374,417,418,423,424,425,426,427,429,431,433,441,442,443,445,447,449,451,452,455,456,458,459,460,461,462,475,480,481,495,496,498,499,500,501,503,505,506,508,509,510,511,513,515,516,518,519,520,521,523,585,586,587,588,589,590,591,593,614,615,616,617,618,620,621,623,625,629,631,632,634) have mixed types.Specify dtype option on import or set low_memory=False.
This is because column type guessing according to a quick search: https://stackoverflow.com/questions/24251219/pandas-read-csv-low-memory-and-dtype-options