下面的数据和代码无法满足您的所有要求。它显示了您需要的数据和在Map上绘制注解文本的代码。当Map上有许多文本时，很难在不发生冲突的情况下正确放置它们。一个可以在所有情况下对它们进行排列以获得完美结果的程序既长又复杂。
输入数据：

Content of "testing.json"
The `locations` data should contain:
- (long, lat) of the location
- name, i.e. "City_A"
- (shift_long, shift_lat) for positioning of the `name` away from the location to avoid clashing

{"locations": [
    {"coordinates": {"latitude": 12, "longitude": 99, "name": "City_A", "shift": [-19,-16]}},
    {"coordinates": {"latitude": 55, "longitude": 68, "name": "City_B", "shift": [15,15]}},
    {"coordinates": {"latitude": 36, "longitude": 35, "name": "City_C", "shift": [-17,18]}} ]}

代码：

import pandas as pd
import matplotlib.pyplot as plt
from shapely.geometry import Point
import geopandas as gpd
from geopandas import GeoDataFrame
import json 

def createLatitudeLongitudeDataFrame(inputJsonFolder, inputJsonFilename):
    data = json.load(open(inputJsonFolder + "/" + inputJsonFilename))
    latitudes = []
    longitudes = []
    names = []   # annotation name
    shifts = []  # annotation shift(dlong, dlat)
    for location in data["locations"]:
        latitudes.append(location["coordinates"]["latitude"])
        longitudes.append(location["coordinates"]["longitude"])
        names.append(location["coordinates"]["name"])
        shifts.append(location["coordinates"]["shift"])

    data_tuples = list(zip(latitudes, longitudes, names, shifts))
    df = pd.DataFrame(data_tuples, columns=["Latitudes", "Longitudes", "Names", "Shifts"])
    return df

#This function creates the map of the locations based on the dataframe.
def createMapOfLocations(df):
    geometry = [Point(yx) for yx in zip(df['Longitudes'], df['Latitudes'])]   
    gdf1 = GeoDataFrame(df, geometry=geometry)   

    #This is a simple map that goes with geopandas
    world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

    # Need ax1 for reuse
    fig, ax1 = plt.subplots(figsize=(8, 5))
    world.plot(ax=ax1, alpha=0.5)
    gdf1.plot(ax=ax1, marker='o', color='red', markersize=15)

    # ---------------
    # Plot annotation
    # Note the values of xytext, it needs good offset to avoid clashes
    # ---------------
    gdf1.apply(lambda ro: 
               ax1.annotate(
                text=ro['Names'], 
                xy=ro.geometry.centroid.coords[0], 
                xytext=[ro.geometry.centroid.coords[0][0]+ro['Shifts'][0], 
                        ro.geometry.centroid.coords[0][1]+ro['Shifts'][1]], 
                xycoords='data',
                size="small", color="k",
                ha="center", va="center",
                arrowprops=dict(
                            arrowstyle='->', 
                            connectionstyle="arc3,rad=-0.05",
                            color="k"
                        )
                ), axis=1)

    # Set extent of the required map
    ax1.set_xlim(-25,120)
    ax1.set_ylim(-15,75)

    plt.show()


def main():
    inputJsonFolder = "./inputFolder"
    inputJsonFilename = "testing.json"
    df = createLatitudeLongitudeDataFrame(inputJsonFolder, inputJsonFilename)
    createMapOfLocations(df)
    print(df)

main()