pandaspro/__init__.py,sha256=F2avR2_GLHvFdmuTKUiK1JTMRpZGf52UQwRah3-klDk,1081
pandaspro/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/core/api.py,sha256=BvQHse-BwNbmgTCzqkrvyg6UluLZnSisUJzsWd3wmKg,1274
pandaspro/core/dates/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/core/dates/methods.py,sha256=8_A5IQOHZPrUsYRRFxpDFlZArVluUEQTRWdmj_fBvAw,455
pandaspro/core/dates/now.py,sha256=xI5MUU3y4irzAKlIspT8MkbcVDTa7pJ-gJtTBp1y-hY,1128
pandaspro/core/frame.py,sha256=Y30xL8Bsu3kCTnbvP-krG09f_BY7oDyeFQ2_36Z47uk,49136
pandaspro/core/pivot.py,sha256=acj9ps4C1LjmylCIR9imo5xFAbUx-sdqm9KAq7yn0gM,1236
pandaspro/core/reshape/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/core/reshape/tile.py,sha256=nFje7Ha-aCjmmmRGN81A8Cd631SVkKu0hxXQunpfSDY,11033
pandaspro/core/stringfunc.py,sha256=XkNoCG-PQwYYrQF5XmXSyBT42vrkHxUPXFHMm_nk5mw,7889
pandaspro/core/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/core/tools/compare.py,sha256=xsW24ghK1MXmIJ81Em-giIsbq-u2Ke8N3eZaCnyTe54,2464
pandaspro/core/tools/consecgrouper.py,sha256=vemGJHMOwqVUxHSGEpNH7fEzbIt0_AwCnHdiQMBdU7c,2801
pandaspro/core/tools/corder.py,sha256=ZNhrZKmq2t7u7niS-ge9emJL7NDeapFYVGgVTutUWeE,4100
pandaspro/core/tools/csort.py,sha256=ir2_u540kDvrkHqAS-h4poJ8v9y0mU5zf6bS3pd5qxw,3421
pandaspro/core/tools/dfilter.py,sha256=wlO6_FL2jWHJoBI7MgF64axf3V5KB9RYue_aYtbdTTs,4010
pandaspro/core/tools/indate.py,sha256=cwTcYMrU7PmJSM3F_fa-fzg50CUQTfGhVjz4B_gvcA4,5719
pandaspro/core/tools/inlist.py,sha256=XRaqasySvMxn3K_tVts-ZvBVjSrCEQJAlVES2XrO7Wg,4231
pandaspro/core/tools/inrange.py,sha256=4C15sbaPUpgR0CHxSkQomA55JloBpWDEEgXpJKuml1s,2726
pandaspro/core/tools/lowervarlist.py,sha256=OR8eRwPeAy9CSfYMQTc0kDS4kxo09mUWazEf8eVqCvU,3771
pandaspro/core/tools/pivot.py,sha256=q_4KSTuQx_CCEqar4TLyEueOjxqInBwUOiPXGrbGSWI,4322
pandaspro/core/tools/replace_left_with_right.py,sha256=l6GaMkiLL0-fZs2sVteHf0YA7SKbRLwRVOdBhXwxNkU,2807
pandaspro/core/tools/search2df.py,sha256=H9QPSzHW9Z5I9vOHtGr0pnHPmMD9kY98oelOxJ9BuNM,5937
pandaspro/core/tools/strpos.py,sha256=2ufctY7xcvHNlssFUpZaGHU9V0KpxAD8RsxWIBQ-1YY,2293
pandaspro/core/tools/tab.py,sha256=hJ28i4L0kq3qMsueShxeVzW04JxuxkchScnc75KsHhk,4105
pandaspro/core/tools/toolObject.py,sha256=VxcXzlFg28HCPx6WwP24m4978M0mgl_Cpe_x47V-ZWw,354
pandaspro/core/tools/utils.py,sha256=l1b3F1jcdzXUPt5Mh73asP2lynR-XWYGv6p2ysYEOjQ,2526
pandaspro/core/tools/varnames.py,sha256=YAcPtFFaV1KmnM8_tNUE1WSmu9D5aeyrSa-Fazawago,3848
pandaspro/cpdbase/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/cpdbase/api.py,sha256=rIy4Jg710dKZilbCbpYqa4Iow4Ui8HnPA7ophcMOYVg,255
pandaspro/cpdbase/cpd_base_frame.py,sha256=C2Ap6Rj8Yuak29NbEc0KpQ9li6lkoeqAJbSwKTLcOU8,16686
pandaspro/cpdbase/design.py,sha256=QJ6JLOl6_3gwXjUNUV_jTay3v68TZFh5zKMxGzQD0vI,584
pandaspro/cpdbase/files_version_parser.py,sha256=ZU8q6Cuo-rNeC3VZeSxBHpyaHRyhgzmydx7CNjsZEe8,8083
pandaspro/date/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/date/api.py,sha256=qUyRJ6wj3Ci1lWXxGN70IDPqGDKrPRvHSu95D9NOfXM,77
pandaspro/date/datepro.py,sha256=RavlDrIhLPVbnuIDBue8JTE8kFI3YDrxulyebvFiH04,4153
pandaspro/dev-cpdreport/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/dev-cpdreport/report.py,sha256=xv0zadz9YenDtZyLIBr3SvUiMO1eym7rXdGuOiGEzQI,244
pandaspro/email/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/email/api.py,sha256=LUUsYCdg-ZUXGtTlIYdxpmSVvHimgq2Z3AKUBLWP9rM,179
pandaspro/email/email.py,sha256=hWkSVefWTE4yeCpLsi1gDZVSl6aiL4XmpC1vsU-L_0A,3074
pandaspro/email/user_template/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/email/user_template/email_template/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/email/user_template/email_template/data_distribution.html,sha256=J0YqnoQNCUHbu3SMXCmqPZpsfXKjCKvyCyq525iABf4,619
pandaspro/email/user_template/email_template/styles.css,sha256=W8-XQA8lakanr5YpPDk8SS4kiRoyZLUu27xTrMy8O-g,500
pandaspro/email/user_template/engines/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/email/user_template/engines/data_distribution.py,sha256=fTJmm_RUmcu8SK7aaM-xydUaR3XZ7N3xTHvZIS_lu1k,1844
pandaspro/email/user_template/senders/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/email/user_template/senders/sender_data_distribution.py,sha256=OjUiY2D82XSl8peyXJYB1fKGpLD5IoJzcaUqaxKLWV0,411
pandaspro/email/utlis.py,sha256=odfKkJS1oE7yztu5hcGuCn3yK2ukUplsyQpQupdjkKU,204
pandaspro/io/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/io/api.py,sha256=xrViAz1DN88vR-_hblA6JpWKSqobaIXfSwp1WWr6bGY,554
pandaspro/io/cellpro/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/io/cellpro/cellpro.py,sha256=yrvTJEH8gxZeXUnrhdUkalHzTusjlDZ6-qxKTyXvWkU,12824
pandaspro/io/excel/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/io/excel/_customstyle.py,sha256=nxbQFFX5gbqFHf7vvU1otNAXQYYMYQf_VD-GlH2i_I0,1659
pandaspro/io/excel/base.py,sha256=tK1UOpXpVOv0N2ARrjYDdYDVYD80OHJiIH29AdSYcr0,5910
pandaspro/io/excel/cdformat.py,sha256=k8_mDfnp1kkfW_p5oDx4N_bGny0_3-PrsjvabNgRR_s,4934
pandaspro/io/excel/class_example.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/io/excel/helpfile.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/io/excel/putexcel.py,sha256=5pZb1Ae7MZMgcPGiXl-MmL-KB_Mtd7KdGRgmZCpq-ZY,71495
pandaspro/io/excel/range_operator.py,sha256=5yawasKtCBd26Y3BhXtgp9QLpswd1H29hW0llm5rnUc,40559
pandaspro/io/excel/wbexportsimple.py,sha256=s8T-bQH5JcI8KgwEc6wwaEMgrYq7dn7cFtVUeGpl4E8,922
pandaspro/io/excel/writer.py,sha256=k2sWEW4uUYcPj_DZqFYX0vbFa1OXBDZj184uI5u02LY,29056
pandaspro/pdfs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/pdfs/api.py,sha256=7MGclcDN_H_XefC_0JhDLV0z1se0fi614naF0pytFYI,73
pandaspro/pdfs/tools.py,sha256=DdLdr5uamr8QJ-jkYP3Q4bhwcPVv_l-oX53rO5Ne7Xk,1103
pandaspro/sample_df.py,sha256=bPo5Le0Hvenzr3U38CkbAL6FxDcsWHy9yrx7YWn34rc,2256
pandaspro/sampledf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/sampledf/api.py,sha256=WcyfROfUkHB-Hr8VSDpyb1U9fceVyLRHzecA7UgTBoA,186
pandaspro/sampledf/sampledf.py,sha256=jxEQuUQjdRBdrkSOviQz5mOtnVyW7EX-RM_GMJ9f_Oc,30323
pandaspro/sampledf/testbackup_framexlwriter.py,sha256=Mf7cgF250s69AYJ6wpRjPoDTlmGzk27X0S5pRhB7-2c,1190
pandaspro/test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/test/cdformat_test.py,sha256=0eQPDfE5vO8MdY5wdAGfkhx32k82RMNCZ1WCD6vL-2s,324
pandaspro/test/csort_test.py,sha256=W1GrS-f-Zpwb3xj7asx4ETQh3rEeD3loM_biA9ySf64,415
pandaspro/test/demo_corder_export.py,sha256=cii5ntlnjOzRkLjEJiDjbFmrj9_0Jv5hggVjJd8acnE,4040
pandaspro/test/demo_corder_reordered.xlsx,sha256=xHPRt2G6KNRtLQu4a0v1xyIcY_ITXp4DvzOvErKwgAw,13346
pandaspro/test/demo_cpdtab2s.py,sha256=vgWAwJ_VJZIQq-ltFtNT6NOo1QWvnbk2_NKfCXykop0,8770
pandaspro/test/demo_cpdtab2s_subtotal.xlsx,sha256=5rd1vbStpdNj6hlIJJoVNZAjxrKcFgXfaDI318Kg18A,19858
pandaspro/test/demo_new_features.xlsx,sha256=5UcHE5sdR2O4dbKe12g_Vwap3-qyuddevEd3kAqtdfY,11110
pandaspro/test/framewriter_test.py,sha256=-BRtSEOyoPXOwMLoQKP7mIfQSYQS_v7EYw8nV1dJ2Sk,694
pandaspro/test/putxl_test.py,sha256=7aQdZ657qwk30S9P6KHuSAhfS_FhGBAeoNZOafuRRkg,306
pandaspro/test/test_auto_format_improvements.xlsx,sha256=Aih6Pr8lXy_La4yghZtTK5isI4UQH9FwLDk-x3pYpj0,15847
pandaspro/test/test_column_borders.xlsx,sha256=SFsRK_aFawe7jSpQacvxcvwoVZukjeL4YjEThvfVGUU,11547
pandaspro/test/test_cpdtab2_triple_underscore.py,sha256=KeDCGXHe3t0_Trr088Igs6hUaGsQtVnz-OwaXxR4jZQ,9522
pandaspro/test/test_cpdtab2_triple_underscore.xlsx,sha256=LAtRlJmDVcEGhI2rLAF2RAsuaJ5EYc2sGycrLhRYirg,28276
pandaspro/test/test_cpdtab2s.xlsx,sha256=5iQOtAYU2lb86qKqtdw1Jw4YR92vue-7ICeBD-1rFGQ,13091
pandaspro/test/test_cpdtab2s_multiindex.xlsx,sha256=51eJp19W4YD7WsVGlc14fpT2LjVWdv-WZLDzn9Oo4WQ,13288
pandaspro/test/test_multiindex_output.xlsx,sha256=qYXrGLK-G0L6MCuu6ctMbop_rQdUtXn43XB4UNzq_2s,12052
pandaspro/test/test_pivot_improvements.py,sha256=Z15MJwfagtHj2HyiBFdQf0raZ80XJodppJCt0khICBM,6203
pandaspro/test/test_pivot_improvements.xlsx,sha256=QQc-TnavMh7T89AtypP31a4-eAeDKyANN0i6AtGD4-c,14994
pandaspro/test/test_quick_write_autoformat.xlsx,sha256=qNo052LfKCGBCsFcQcWbGvKAlZNEKTdGBPumowIDUak,12913
pandaspro/test/TEST_RESULTS_CPDTAB2_TRIPLE_UNDERSCORE.md,sha256=CryY4Tlf-I7JJyzlSFy9TNAhkYyZBCeupe0WrneqRNY,7995
pandaspro/test/test_subtotal_columns.xlsx,sha256=ySXzaei96PesSELaPoVIzgKeETidI5JicwRzBThd2xI,15970
pandaspro/test/UPGRADE_SUMMARY.md,sha256=IHH4XOr6lMWfw4aMXzUqf4cr6Z1UXveQ70YwjQ97LW8,7068
pandaspro/test/verify_fix_subtotal_columns.xlsx,sha256=qXUxKQFu-wuglLzzeT0pZKxFToba7gdFRJ_7gV91LUk,9616
pandaspro/test/verify_multiindex_output.py,sha256=B3b-1SmT_mpI-dRAMhEQrUkaJO1GDQHfd9HH1rOCco8,890
pandaspro/user_config/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/user_config/cd_sheets.py,sha256=pTFf-CR_0ykms8Y0UO-A5TQ2ViWH_pdA3CsQS8nUsIo,10927
pandaspro/user_config/excel_table_mydesign.py,sha256=dphjYaqVI_tGlXjf72mOhTGTNADyW8oxAGTVFa2EXmg,2056
pandaspro/user_config/style_sheets.py,sha256=mCGSwcXh6PfUpeOxWl63ja8iQJdWGl2mijOBFFiK2tU,1973
pandaspro/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandaspro/utils/cpd_logger.py,sha256=Gr6VD7q_W5j4LKgLtdExAcabXrgJNzdtFcrGV9sKUjc,4972
pandaspro/utils/progress_bar.py,sha256=26FhRMjqieSuG5ZExsAVU8-3pc9gdhRCfKTH34ROTgI,947
pandaspro-1.0.2.dist-info/METADATA,sha256=8q2yvM9xIseXYjGwvGk3uHZsa7udmeft6ve5tNsYuPU,988
pandaspro-1.0.2.dist-info/WHEEL,sha256=zp0Cn7JsFoX2ATtOhtaFYIiE2rmFAD4OcMhtUki8W3U,88
pandaspro-1.0.2.dist-info/RECORD,,
