7/30/2023 0 Comments Create dataframe from dictionaryWe’ll first start by defining a few data objects that we’ll use throughout our examples. We’ll look specifically into a step-by-step process to append lists, dictionaries and Pandas Series objects into DataFrames. In this tutorial we’ll cover everything you might need in order to add new rows into an existing DataFrame. Import aph_objects as go import numpy as np x = x_rev = x # Line 1 y1 = y1_upper = y1_lower = y1_lower = y1_lower # Line 2 y2 = y2_upper = y2_lower = y2_lower = y2_lower # Line 3 圓 = 圓_upper = 圓_lower = 圓_lower = 圓_lower fig = go. update_layout ( annotations = annotations ) fig. The lists/ndarrays must all be the same length. The keys of the dictionary are used as column labels. append ( dict ( xref = 'paper', yref = 'paper', x = 0.5, y =- 0.1, xanchor = 'center', yanchor = 'top', text = 'Source: PewResearch Center & ' + 'Storytelling with data', font = dict ( family = 'Arial', size = 12, color = 'rgb(150,150,150)' ), showarrow = False )) fig. Create a DataFrame from multiple lists by passing a dict whose values lists. append ( dict ( xref = 'paper', yref = 'paper', x = 0.0, y = 1.05, xanchor = 'left', yanchor = 'bottom', text = 'Main Source for News', font = dict ( family = 'Arial', size = 30, color = 'rgb(37,37,37)' ), showarrow = False )) # Source annotations. format ( y_trace ), font = dict ( family = 'Arial', size = 16 ), showarrow = False )) # Title annotations. append ( dict ( xref = 'paper', x = 0.05, y = y_trace, xanchor = 'right', yanchor = 'middle', text = label + ' %'. ![]() update_layout ( xaxis = dict ( showline = True, showgrid = False, showticklabels = True, linecolor = 'rgb(204, 204, 204)', linewidth = 2, ticks = 'outside', tickfont = dict ( family = 'Arial', size = 12, color = 'rgb(82, 82, 82)', ), ), yaxis = dict ( showgrid = False, zeroline = False, showline = False, showticklabels = False, ), autosize = False, margin = dict ( autoexpand = False, l = 100, r = 20, t = 110, ), showlegend = False, plot_bgcolor = 'white' ) annotations = # Adding labels for y_trace, label, color in zip ( y_data, labels, colors ): # labeling the left_side of the plot annotations. Scatter ( x =, x_data ], y =, y_data ], mode = 'markers', marker = dict ( color = colors, size = mode_size ) )) fig. Scatter ( x = x_data, y = y_data, mode = 'lines', name = labels, line = dict ( color = colors, width = line_size ), connectgaps = True, )) # endpoints fig. Import aph_objects as go import numpy as np title = 'Main Source for News' labels = colors = mode_size = line_size = x_data = np. update_layout ( title = 'Average High and Low Temperatures in New York', xaxis_title = 'Month', yaxis_title = 'Temperature (degrees F)' ) fig. Scatter ( x = month, y = low_2000, name = 'Low 2000', line = dict ( color = 'royalblue', width = 4, dash = 'dot' ))) # Edit the layout fig. Scatter ( x = month, y = high_2000, name = 'High 2000', line = dict ( color = 'firebrick', width = 4, dash = 'dot' ))) fig. Scatter ( x = month, y = low_2007, name = 'Low 2007', line = dict ( color = 'royalblue', width = 4, dash = 'dash' ))) fig. ![]() Scatter ( x = month, y = high_2007, name = 'High 2007', line = dict ( color = 'firebrick', width = 4, dash = 'dash' ) # dash options include 'dash', 'dot', and 'dashdot' )) fig. Scatter ( x = month, y = low_2014, name = 'Low 2014', line = dict ( color = 'royalblue', width = 4 ))) fig. Scatter ( x = month, y = high_2014, name = 'High 2014', line = dict ( color = 'firebrick', width = 4 ))) fig.
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