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FeatureClassToNumpyArray

Question asked by zieglerhm_CDMSmith on Jul 21, 2018
Latest reply on Sep 6, 2018 by wr_sfoo

Hi all,

 

I'm attempting to load a featureclass into a numpy array and then a pandas data frame. Creating the numpy array has been straight-forward. However, I keep getting an error when I attempt to then create a data frame from the array:

#Import libraries

import arcpy, numpy, scipy, sklearn, pandas, seaborn, matplotlib, arcgisscripting, SSUtilities, os

 

#Define input data variable

in_samples = r'F:\Documents\Files\Projects\Hyperspectral_EstimateChlA\Predict_ChlA.gdb\insitu_chla_measures_points_average_cropped_bands'

 

#Import prepared sample data from ArcGIS as numpy array

in_samples_array = arcpy.da.FeatureClassToNumPyArray(in_samples, '*')

in_samples_array:

array([( 1, [-80.812425 , 28.68695833], '27010875', 1, 4.00564275, 28.68695833, -80.812425 , 27, 36, 34, 38, 47, 55, 48, 48, 48, 51, 53, 54, 56, 60, 68, 68, 65, 66, 63, 68, 74, 73, 74, 77, 76, 76, 79, 78, 75, 70, 69, 68, 67, 64, 57, 51, 47, 46, 45, 44, 43, 41, 41, 40, 38, 35, 32, 31, 33, 36, 37, 32, 27, 23, 19, 17, 15, 12, 6, 6, 7, 8, 10, 12, 10, 7, 6, 6, 7, 8, 8, 10, 12, 15, 15, 14, 14, 15, 18, 21, 21, 20, 20, 21, 24, 29, 34),

( 2, [-80.80071278, 28.73696694], 'IRLI02', 1, 5.62214993, 28.73696694, -80.80071278, 41, 36, 33, 42, 50, 55, 51, 52, 52, 52, 52, 54, 56, 58, 66, 68, 66, 67, 62, 65, 73, 73, 74, 77, 78, 76, 76, 76, 75, 73, 70, 69, 70, 66, 58, 52, 49, 48, 48, 46, 43, 43, 44, 44, 42, 37, 34, 33, 34, 39, 41, 38, 34, 27, 26, 27, 26, 20, 15, 13, 13, 13, 15, 15, 13, 12, 11, 11, 11, 12, 12, 14, 16, 18, 19, 20, 22, 24, 25, 26, 25, 25, 25, 27, 30, 34, 41),

( 3, [-80.80200694, 28.63580083], 'IRLI06', 1, 4.74509997, 28.63580083, -80.80200694, 26, 32, 29, 32, 41, 46, 41, 47, 46, 48, 50, 50, 54, 54, 61, 63, 60, 62, 58, 62, 71, 69, 66, 68, 70, 71, 71, 71, 70, 68, 66, 65, 67, 65, 57, 50, 46, 45, 45, 45, 45, 44, 44, 44, 42, 39, 37, 36, 36, 41, 46, 41, 35, 28, 28, 29, 26, 21, 16, 14, 12, 14, 16, 16, 14, 12, 11, 11, 12, 13, 14, 16, 18, 19, 19, 19, 20, 23, 26, 27, 28, 27, 26, 27, 29, 34, 41),

( 4, [-80.798395 , 28.60347 ], 'IRLI07', 1, 5.4798699 , 28.60347 , -80.798395 , 22, 27, 23, 30, 40, 42, 38, 40, 38, 41, 41, 44, 46, 46, 56, 57, 52, 54, 52, 55, 60, 58, 60, 60, 60, 60, 62, 62, 62, 60, 57, 55, 56, 55, 49, 46, 46, 44, 40, 38, 37, 39, 38, 37, 36, 34, 32, 30, 31, 36, 40, 34, 29, 25, 22, 21, 18, 15, 13, 14, 13, 14, 17, 19, 17, 16, 15, 15, 15, 16, 17, 20, 23, 25, 26, 27, 27, 28, 29, 29, 28, 28, 29, 32, 36, 40, 44),

( 5, [-80.74158333, 28.55636111], 'IRLI09E', 2, 4.17642997, 28.55636111, -80.74158333, 14, 25, 24, 25, 34, 39, 35, 37, 38, 37, 39, 43, 46, 46, 55, 56, 56, 60, 57, 60, 65, 66, 66, 66, 68, 71, 73, 73, 72, 70, 69, 69, 69, 68, 62, 57, 55, 53, 50, 51, 47, 45, 47, 48, 46, 41, 39, 38, 39, 45, 52, 47, 41, 36, 33, 32, 28, 22, 17, 13, 12, 14, 17, 17, 14, 11, 10, 11, 13, 14, 17, 18, 19, 20, 21, 23, 24, 24, 25, 27, 28, 27, 28, 30, 36, 42, 49),

( 6, [-80.76859389, 28.50121 ], 'IRLI10', 1, 3.92627022, 28.50121 , -80.76859389, 0, 3, 7, 18, 27, 27, 24, 28, 27, 26, 29, 30, 30, 30, 39, 39, 37, 40, 38, 40, 44, 43, 44, 47, 46, 45, 45, 46, 44, 42, 42, 41, 40, 36, 31, 26, 24, 24, 21, 21, 20, 20, 21, 21, 19, 18, 17, 17, 16, 21, 24, 21, 17, 15, 12, 12, 11, 10, 6, 5, 5, 6, 7, 7, 5, 4, 4, 4, 5, 6, 7, 9, 11, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 26, 26, 28, 33),

( 7, [-80.73586083, 28.39306583], 'IRLI13', 1, 3.45017987, 28.39306583, -80.73586083, 30, 32, 34, 34, 37, 40, 35, 37, 36, 40, 43, 46, 47, 49, 59, 62, 61, 64, 59, 62, 69, 69, 70, 71, 71, 71, 72, 72, 70, 68, 66, 66, 68, 65, 59, 54, 52, 51, 48, 46, 46, 45, 45, 45, 44, 39, 36, 38, 40, 43, 44, 37, 34, 28, 25, 23, 19, 17, 15, 13, 13, 15, 18, 18, 15, 13, 13, 13, 14, 16, 18, 20, 22, 24, 24, 24, 23, 25, 27, 29, 30, 29, 29, 31, 35, 40, 47),

( 8, [-80.71309389, 28.335345 ], 'IRLI15', 1, 3.95554015, 28.335345 , -80.71309389, 55, 57, 48, 46, 48, 50, 46, 48, 45, 47, 49, 49, 50, 54, 64, 65, 60, 64, 62, 66, 72, 71, 73, 74, 74, 74, 75, 74, 71, 69, 67, 65, 65, 60, 53, 49, 49, 47, 44, 44, 42, 42, 42, 42, 42, 39, 37, 36, 36, 40, 42, 37, 35, 32, 29, 28, 25, 23, 19, 17, 19, 22, 27, 28, 26, 23, 22, 24, 26, 28, 29, 31, 33, 35, 35, 34, 34, 35, 38, 40, 41, 41, 41, 43, 46, 48, 52),

( 9, [-80.71723528, 28.73191722], 'IRLML02', 2, 2.50479301, 28.73191722, -80.71723528, 25, 35, 38, 37, 38, 46, 47, 48, 48, 51, 52, 54, 58, 60, 69, 71, 68, 70, 68, 72, 80, 80, 81, 82, 83, 81, 82, 83, 81, 80, 78, 77, 80, 75, 65, 59, 56, 55, 53, 52, 50, 48, 48, 49, 48, 44, 42, 41, 40, 43, 45, 38, 36, 31, 27, 27, 25, 22, 15, 15, 16, 18, 21, 21, 19, 18, 18, 18, 19, 21, 23, 24, 25, 26, 27, 28, 28, 27, 28, 28, 29, 30, 32, 33, 34, 38, 45),

(10, [-80.79482083, 28.83749889], 'IRLML169', 1, 4.31573137, 28.83749889, -80.79482083, 79, 70, 56, 62, 72, 78, 73, 74, 75, 79, 78, 81, 84, 85, 93, 95, 92, 93, 90, 94, 100, 102, 103, 102, 103, 103, 105, 106, 105, 99, 94, 91, 89, 82, 70, 63, 60, 59, 57, 56, 54, 51, 52, 51, 49, 44, 41, 40, 40, 42, 44, 37, 35, 33, 29, 27, 24, 21, 20, 19, 19, 21, 24, 25, 23, 21, 21, 22, 22, 22, 23, 25, 27, 29, 29, 29, 29, 29, 30, 32, 33, 33, 33, 35, 39, 44, 48)],

dtype=[('OBJECTID', '<i4'), ('Shape', '<f8', (2,)), ('Station', '<U255'), ('Cnt_Station', '<i4'), ('Ave_Value_Chla', '<f8'), ('Latitude_DD', '<f8'), ('Longitude_DD', '<f8'), ('b1_Band', '<i4'), ('b2_Band', '<i4'), ('b3_Band', '<i4'), ('b4_Band', '<i4'), ('b5_Band', '<i4'), ('b6_Band', '<i4'), ('b7_Band', '<i4'), ('b8_Band', '<i4'), ('b9_Band', '<i4'), ('b10_Band', '<i4'), ('b11_Band', '<i4'), ('b12_Band', '<i4'), ('b13_Band', '<i4'), ('b14_Band', '<i4'), ('b15_Band', '<i4'), ('b16_Band', '<i4'), ('b17_Band', '<i4'), ('b18_Band', '<i4'), ('b19_Band', '<i4'), ('b20_Band', '<i4'), ('b21_Band', '<i4'), ('b22_Band', '<i4'), ('b23_Band', '<i4'), ('b24_Band', '<i4'), ('b25_Band', '<i4'), ('b26_Band', '<i4'), ('b27_Band', '<i4'), ('b28_Band', '<i4'), ('b29_Band', '<i4'), ('b30_Band', '<i4'), ('b31_Band', '<i4'), ('b32_Band', '<i4'), ('b33_Band', '<i4'), ('b34_Band', '<i4'), ('b35_Band', '<i4'), ('b36_Band', '<i4'), ('b37_Band', '<i4'), ('b38_Band', '<i4'), ('b39_Band', '<i4'), ('b40_Band', '<i4'), ('b41_Band', '<i4'), ('b42_Band', '<i4'), ('b43_Band', '<i4'), ('b44_Band', '<i4'), ('b45_Band', '<i4'), ('b46_Band', '<i4'), ('b47_Band', '<i4'), ('b48_Band', '<i4'), ('b49_Band', '<i4'), ('b50_Band', '<i4'), ('b51_Band', '<i4'), ('b52_Band', '<i4'), ('b53_Band', '<i4'), ('b54_Band', '<i4'), ('b55_Band', '<i4'), ('b56_Band', '<i4'), ('b57_Band', '<i4'), ('b58_Band', '<i4'), ('b59_Band', '<i4'), ('b60_Band', '<i4'), ('b61_Band', '<i4'), ('b62_Band', '<i4'), ('b63_Band', '<i4'), ('b64_Band', '<i4'), ('b65_Band', '<i4'), ('b66_Band', '<i4'), ('b67_Band', '<i4'), ('b68_Band', '<i4'), ('b69_Band', '<i4'), ('b70_Band', '<i4'), ('b71_Band', '<i4'), ('b72_Band', '<i4'), ('b73_Band', '<i4'), ('b74_Band', '<i4'), ('b75_Band', '<i4'), ('b76_Band', '<i4'), ('b77_Band', '<i4'), ('b78_Band', '<i4'), ('b79_Band', '<i4'), ('b80_Band', '<i4'), ('b81_Band', '<i4'), ('b82_Band', '<i4'), ('b83_Band', '<i4'), ('b84_Band', '<i4'), ('b85_Band', '<i4'), ('b86_Band', '<i4'), ('b87_Band', '<i4')])

 

#in_samples_array.shape

(10,)

 

#Convert the numpy array to a pandas data frameIn

in_samples_array_columns = list(in_samples_array.dtype.names)

in_samples_df = pandas.DataFrame(in_samples_array, columns = in_samples_array_columns)

Exception: Data must be 1-dimensional

I'm not sure why the error, the array is one-dimensional as the call to .shape suggests, and according to what I have seen in other scripts, this should work..

 

Thank you! Any suggestions are welcome

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