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39 @memoize 40 def load_dataframe(): 41 """ 42 Return a dataframe mapping Entrez gene IDs to 43 tissue-specific RPKMs. Index columns are 44 'entrez_gene_id', 'ensembl_gene_id', and 'hgnc_symbol'. 45 46 Tissue columns are: 47 - adipose 48 - colon 49 - heart 50 - hypothalamus 51 - kidney 52 - liver 53 - lung 54 - ovary 55 - skeletalmuscle 56 - spleen 57 - testes 58 59 """ 60 path = fetch_data(ATLAS_FILENAME, ATLAS_URL) 61 return pd.read_csv(path, sep='\t', header=0)
36 def download_csv(): 37 post_and_check('/gtfs/download/')
4 def download_stock_data(csv_url): 5 response = request.urlopen(csv_url) 6 csv = response.read() 7 csv_str = str(csv) 8 lines = csv_str.split("\\n") 9 dest_url = r'goog.csv' 10 fx = open(dest_url, "w") 11 for line in lines: 12 fx.write(line + "\n") 13 fx.close()
21 def download_csv(request): 22 """Return a CSV file. 23 24 This view reponds with the entire content of the CSV file in a single piece. 25 """ 26 csv_file = ''.join(big_csv(100)) 27 response = HttpResponse(csv_file, content_type='text/csv') 28 response['Content-Disposition'] = 'attachment; filename=big.csv' 29 response['Content-Length'] = len(csv_file) 30 31 return response